Literature DB >> 33086207

Improved accuracy and precision of bioprinting through progressive cavity pump-controlled extrusion.

Philipp Fisch1, Martin Holub1,2, Marcy Zenobi-Wong1.   

Abstract

3D bioprinting has seen a tremendous growth in recent years in a variety of fields such as tissue engineering, drug testing and regenerative medicine, which has led researchers and manufacturers to continuously advance and develop novel bioprinting techniques and materials. Although new bioprinting methods are emerging (e.g. contactless and volumetric bioprinting), micro-extrusion bioprinting remains the most widely used method. Micro-extrusion bioprinting, however, is still largely dependent on the conventional pneumatic extrusion process, which relies heavily on homogenous biomaterial inks and bioinks to maintain a constant material flow rate. Augmenting the functionality of the bioink with the addition of nanoparticles, cells or biopolymers can induce inhomogeneities resulting in uneven material flow during printing and/or clogging of the nozzle, leading to defects in the printed construct. In this work, we evaluated a novel extrusion technique based on a miniaturized progressive cavity pump (PCP) which allows precise control over the volumetric flow rate by positive displacement. We compared the accuracy and precision of this system to the pneumatic extrusion system and tested both systems for their effect on cell viability after extrusion. The PCP achieved a significantly higher accuracy and precision compared to the pneumatic system, while maintaining good viability. These improvements were independent of the bioink composition, printing speed or nozzle size. This study demonstrates the merit of precise extrusion-process control in bioprinting by PCPs and investigates their influence on process-induced cell damage. PCPs are a promising tool for bioprinting and could help provide standardized and validated bioprinted constructs while leaving the researcher more freedom in the design of the bioinks.
© 2020 IOP Publishing Ltd.

Entities:  

Keywords:  alginate; bioprinting; gelatin; gellan gum; micro-extrusion bioprinting; pneumatic extrusion; progressive cavity pump

Mesh:

Year:  2020        PMID: 33086207     DOI: 10.1088/1758-5090/abc39b

Source DB:  PubMed          Journal:  Biofabrication        ISSN: 1758-5082            Impact factor:   9.954


  8 in total

1.  Printability, Durability, Contractility and Vascular Network Formation in 3D Bioprinted Cardiac Endothelial Cells Using Alginate-Gelatin Hydrogels.

Authors:  Christopher David Roche; Poonam Sharma; Anthony Wayne Ashton; Chris Jackson; Meilang Xue; Carmine Gentile
Journal:  Front Bioeng Biotechnol       Date:  2021-02-26

2.  Evaluation of the Reproducibility and Robustness of Extrusion-Based Bioprinting Processes Applying a Flow Sensor.

Authors:  Svenja Strauß; Bianca Schroth; Jürgen Hubbuch
Journal:  Front Bioeng Biotechnol       Date:  2022-03-03

Review 3.  Tailoring bioinks of extrusion-based bioprinting for cutaneous wound healing.

Authors:  Yuzhen Wang; Xingyu Yuan; Bin Yao; Shuoji Zhu; Ping Zhu; Sha Huang
Journal:  Bioact Mater       Date:  2022-01-29

4.  Bioprinting and plastic compression of large pigmented and vascularized human dermo-epidermal skin substitutes by means of a new robotic platform.

Authors:  Luca Pontiggia; Ingmar Aj Van Hengel; Agnes Klar; Dominic Rütsche; Monica Nanni; Andreas Scheidegger; Sandro Figi; Ernst Reichmann; Ueli Moehrlen; Thomas Biedermann
Journal:  J Tissue Eng       Date:  2022-04-25       Impact factor: 7.940

5.  3D Printability Assessment of Poly(octamethylene maleate (anhydride) citrate) and Poly(ethylene glycol) Diacrylate Copolymers for Biomedical Applications.

Authors:  Dominic J Wales; Meysam Keshavarz; Carmel Howe; Eric Yeatman
Journal:  ACS Appl Polym Mater       Date:  2022-07-07

Review 6.  Innovative Treatment Strategies to Accelerate Wound Healing: Trajectory and Recent Advancements.

Authors:  Praveen Kolimi; Sagar Narala; Dinesh Nyavanandi; Ahmed Adel Ali Youssef; Narendar Dudhipala
Journal:  Cells       Date:  2022-08-06       Impact factor: 7.666

7.  Machine Learning Reveals a General Understanding of Printability in Formulations Based on Rheology Additives.

Authors:  Ali Nadernezhad; Jürgen Groll
Journal:  Adv Sci (Weinh)       Date:  2022-08-25       Impact factor: 17.521

Review 8.  The Patent Eligibility of 3D Bioprinting: Towards a New Version of Living Inventions' Patentability.

Authors:  Nabeel M Althabhawi; Zinatul Ashiqin Zainol
Journal:  Biomolecules       Date:  2022-01-12
  8 in total

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